A Method of Fuzzy Multi-objective Nonlinear Programming with GUB Structure by Hybrid Genetic Algorithm

In this paper, a multi-objective nonlinear programming method is proposed. That is, the problems which have fuzzy multiple objective functions and constraints with GUB (Generalized Upper Bounding) structure are solved by the proposed Hybridized Genetic Algorithms (HGA). This approach enables a flexi...

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Veröffentlicht in:	International journal of smart engineering system design Jg. 5; H. 4; S. 281 - 288
Hauptverfasser:	Sasaki, Masato, Gen, Mitsuo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis Group 01.10.2003
Schlagworte:	decision maker fuzzy goal GUB structure hybrid genetic algorithm multiple objective nonlinear programming reliability optimization
ISSN:	1025-5818, 1607-8500
Online-Zugang:	Volltext
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